Observability for Data Engineering Teams
Data engineering teams lack visibility into data quality issues and bugs before they impact downstream consumers and data products.
A continuous data quality monitoring and observability platform that defines, extracts, stores, and visualizes data quality metrics from raw events through delivered data products.
Data engineering teams at organizations that produce and operate data pipelines and data products.
Co-founder & Chief Technology Officer, Lariat Data. Aaditya has spent 10 years of his career building DevOps and developer infrastructure products. He was previously a software architect at Datadog, helping launch and scale the APM product across 100+ software runtimes and integrations. He has also built developer-facing products at Confluent and Bloomberg. He leads the technical team at Lariat Data, guiding product and architecture direction.




